TY  - BOOK
AU  - Kulkarni,Sanjeev
AU  - Harman,Gilbert
ED  - Wiley InterScience (Online service)
TI  - An elementary introduction to statistical learning theory
T2  - Wiley series in probability and statistics
SN  - 9781118023471
AV  - Q325.5 .K85 2011
U1  - 006.3/1 22
PY  - 2011///
CY  - Hoboken, N.J.
PB  - Wiley
KW  - Machine learning
KW  - Statistical methods
KW  - Pattern recognition systems
KW  - Artificial Intelligence
KW  - Pattern Recognition, Automated
KW  - Statistics as Topic
KW  - Aprenentatge automàtic
KW  - Mètodes estadístics
KW  - Reconeixement de formes (Informàtica)
KW  - COMPUTERS
KW  - Enterprise Applications
KW  - Business Intelligence Tools
KW  - bisacsh
KW  - Intelligence (AI) & Semantics
KW  - fast
KW  - Maschinelles Lernen
KW  - swd
KW  - Statistik
KW  - Llibres electrònics
KW  - Electronic books
N1  - Includes bibliographical references and index; Introduction: Classification, Learning, Features, and Applications -- Probability -- Probability Densities -- The Pattern Recognition Problem -- The Optimal Bayes Decision Rule -- Learning from Examples -- The Nearest Neighbor Rule -- Kernel Rules -- Neural Networks: Perceptrons -- Multilayer Networks -- PAC Learning -- VC Dimension -- Infinite VC Dimension -- The Function Estimation Problem -- Learning Function Estimation -- Simplicity -- Support Vector Machines -- Boosting
N2  - "A joint endeavor from leading researchers in the fields of philosophy and electrical engineering An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly evolving field of statistical pattern recognition and statistical learning theory. Exploring topics that are not often covered in introductory level books on statistical learning theory, including PAC learning, VC dimension, and simplicity, the authors present upper-undergraduate and graduate levels with the basic theory behind contemporary machine learning and uniquely suggest it serves as an excellent framework for philosophical thinking about inductive inference"--Back cover
UR  - http://onlinelibrary.wiley.com/book/10.1002/9781118023471
ER  -